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Optimal weighting of information in marker-assisted selection

Published online by Cambridge University Press:  01 April 1997

J. C. WHITTAKER ,
C. S. HALEY  and
R. THOMPSON
J. C. WHITTAKER
Affiliation:
Department of Applied Statistics, University of Reading, Whiteknights Road, PO Box 240, Reading RG6 2FN, UK
C. S. HALEY
Affiliation:
Roslin Institute (Edinburgh), Roslin, Midlothian EH25 9PS, UK
R. THOMPSON
Affiliation:
Roslin Institute (Edinburgh), Roslin, Midlothian EH25 9PS, UK Rothamsted Experimental Station, Harpenden, Herts AL5 2JQ, UK

Abstract

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In crosses between inbred lines linear regression can be used to estimate marker effects; these marker effects then allow marker-assisted selection (MAS) for quantitative traits. Weighting of marker and phenotypic information in MAS requires estimation of genetic variance associated with the markers: the usual estimators are biased, resulting in too much weight being placed on marker information relative to phenotypic information. In this paper we develop a cross-validation method to remove this bias, and show by simulation that response to selection using this method is almost as high as that achieved using optimal weighting of marker and phenotypic information.

Type
Research Article
Information
Genetics Research , Volume 69 , Issue 2 , April 1997 , pp. 137 - 144
Copyright
© 1997 Cambridge University Press